Nina Jeliazkova1, Philip Doganis2, Bengt Fadeel3, Roland Grafström3,4, Janna Hastings5, Vedrin Jeliazkov1, Pekka Kohonen3, Cristian R. Munteanu6, Haralambos Sarimveis2, Bart Smeets6, Georgia Tsiliki2, David Vorgrimmler7, Egon Willighagen6
1Ideaconsult Ltd. (IDEA), Sofia, Bulgaria, 2National Technical University of Athens (NTUA), Athens, Greece, 3Karolinska Institutet (KI), Stockholm, Sweden, 4VTT Technical Research Centre of Finland (VTT), Turku, Finland, 5European Molecular Biology Laboratory – European Bioinformatics Institute (EMBL-EBI), Hinxton, United Kingdom, 6Maastricht University (MU), Maastricht, The Netherlands, 7in silico toxicology Gmbh (IST), Basel, Switzerland
ABSTRACT
The EU-funded eNanoMapper project proposes a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper’s goal is to support the collaborative safety assessment for ENMs by creating a modular, extensible infrastructure for transparent data sharing, data analysis, and the creation of computational toxicology models for ENMs. The eNanoMapper database solution builds on previous experience of the consortium partners in supporting diverse data through flexible data storage, semantic web technologies, open source components and web services. A number of opportunities and challenges exist in nanomaterials representation and integration of ENM information, originating from diverse systems. A short summary, highlighting the pros and cons of the existing integration approaches and data models is presented.
We demonstrate the approach of adopting an ontology-supported data model, describing the materials and measurements. The data sources supported include diverse formats (ISA-Tab, OECD Harmonized Templates, custom spreadsheet templates, various databases provided by consortia members). Besides retaining the data provenance, the focus on measurements provides insights into how to reuse the chemical structure database tools for nanomaterials characterization and safety.
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